> For the complete documentation index, see [llms.txt](https://docs.skynetxbt.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.skynetxbt.ai/skynet-guides/readme.md). # Skynet - Guides This comprehensive guide introduces you to Skynet, the world's first drag-and-drop AI agent builder for Web3. You'll learn about the platform's core features, understand the problem it solves, and see how it transforms agent creation from months of coding to minutes of visual building. #### **📋 Prerequisites** **Knowledge Requirements:** * Basic understanding of cryptocurrency * Familiarity with AI agents concept * Understanding of blockchain networks (Ethereum, etc.) * No coding experience required #### **🎯 Next Steps** **Ready to Build?** 1. **Join the Waitlist** - Get early access to the platform 2. **Explore Templates** - Browse the library of proven agent blueprints 3. **Join Community** - Connect with builders on telegram 4. **Watch More Guides** - Check out our building tutorials 5. **Start Building** - Create your first agent in under 20 minutes **Recommended Next Guides:** * Guide 1 : What is Skynet ? * Guide 2: Building an ACP Agent using Skynet * Guide 3: Building a Trading Agent using Wach AI * Guide 4: Building an Agent with Knowledge Base --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.skynetxbt.ai/skynet-guides/readme.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.